{"id":"W2141081839","doi":"10.1136/bmj.h2298","title":"Antipsychotic drug use in pregnancy: high dimensional, propensity matched, population based cohort study","year":2015,"lang":"en","type":"article","venue":"BMJ","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Institute for Clinical Evaluative Sciences; Women's College Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Pregnancy; Antipsychotic; Poisson regression; Obstetrics; Gestational diabetes; Population; Propensity score matching; Rate ratio; Cohort study; Medical prescription; Cohort; Confidence interval; Pediatrics; Internal medicine; Schizophrenia (object-oriented programming); Psychiatry; Gestation; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001486744,0.0003609493,0.0004552369,0.0008391344,0.001064055,0.0007912265,0.000754835,0.0005950934,0.001124944],"category_scores_gemma":[0.003835623,0.0005944644,0.0005803502,0.002603749,0.0004466674,0.0004626329,0.0007146516,0.000599639,0.0002445245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572577,"about_ca_system_score_gemma":0.002079494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1017942,"about_ca_topic_score_gemma":0.09710559,"domain_scores_codex":[0.9986243,0.0003305613,0.0001435402,0.0003833852,0.0003127191,0.0002054287],"domain_scores_gemma":[0.9982565,0.0001627053,0.0007402747,0.0004296423,0.0002058772,0.0002049579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001921507,0.00003801924,0.9983339,0.00001029094,0.000168693,0.00009510326,0.00007938706,0.00004828372,0.0001436344,0.00004480226,0.0001791668,0.0006667021],"study_design_scores_gemma":[0.00008450155,0.00014032,0.9979494,0.00001346569,0.0001137247,0.0003222999,0.0002047241,0.0005581939,0.00004815754,0.00006220944,0.0004931854,0.000009755287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968647,0.0001973892,0.0006158351,0.00007211039,0.000009077797,0.00009854348,0.001789119,0.000006265547,0.0003469192],"genre_scores_gemma":[0.9981959,0.0001121484,0.0004278197,0.00004288533,0.000007795051,0.00006881264,0.00093871,0.000002370026,0.0002034586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017942,"threshold_uncertainty_score":0.2024035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06854512327624618,"score_gpt":0.3395143315866953,"score_spread":0.2709692083104491,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}